Motivated by the random covering problem and the study of Dirichlet uniform approximable numbers, we investigate the uniform random covering problem. Precisely, consider an i.i.d. sequence ω = (ωn)n≥1 uniformly distributed on the unit circle &x1D54B; and a sequence (rn)n≥1 of positive real numbers with limit 0. We investigate the size of the random set U(ω) := {y ∈ &x1D54B;: ∀N ≫ 1, ∃n ≤ N

I detta paper behandlas temporalitet utifrån begreppets historiekulturella innebörder. Skolans historieämne rymmer ett spänningsfält av olika typer av temporalitet. Historiestuderande förväntas lära sig om den kronologiska, framåtsyftande historien som indirekt förklarar vår egen tid. Samtidigt återspeglar skolans kursplaner sin samtids behov av minne och orientering. Historia fyller med andra ord

Methods to promote professionals’ self-knowledge and affinity for therapeutic alliances may be valuable to facilitate clients’ journeys towards recovery. This article illuminates how the use of creative art diaries can support the development of generic professional competencies in therapeutic work with clients. The methods entailed the construction of a telling case. This case was based on an aut

The statistical sparse jump model, a recently developed, robust and interpretable regime-switching model, is used to analyze the factors driving the return dynamics of the largest cryptocurrencies. This method simultaneously incorporates feature selection, parameter estimation, and state classification. We consider a wide range of candidate features, including cryptocurrency, sentiment, and financThe statistical sparse jump model, a recently developed, robust and interpretable regime-switching model, is used to analyze the factors driving the return dynamics of the largest cryptocurrencies. This method simultaneously incorporates feature selection, parameter estimation, and state classification. A wide range of candidate features is considered, including cryptocurrency, sentiment, and fina

We consider the statistical sparse jump model, a recently developed, robust and interpretable regime switching model, to identify features that drive the return dynamics of the largest cryptocurrencies. The approach simultaneously performs feature selection, parameter estimation, and state classification. Our large number of candidate features comprises cryptocurrency, sentiment, and financial mar

Do negative income shocks increase conflict risk? I study the relationship between desert locust infestations and conflict in 26 African countries. Combining geolocalized data on locust swarms and bands with information on conflict events, I construct two panel datasets at spatial resolutions 0.5◦ × 0.5◦ and 0.1◦ × 0.1◦, covering the years 1997–2017. I find a negative relationship between locust i

A planar millimeter-wave shared-aperture array antenna is proposed and designed in this paper. By composing the substrate integrated waveguide (SIW) and the stripline, the K-band antenna is embedded inside the Ka-band antenna to achieve a smaller size and a low profile by sharing an aperture. The Ka-band antenna radiates through the parallel slot pairs on the surface of the SIW cavities with horiz

This short paper explores the gamification of an online academic conference. At the conference, digital gamification was meant to stimulate increased levels of participation among attendees. Instead, it resulted in a series of unintended consequences. Precisely because it was all too easy to score points and ascend the virtual leaderboard by means of machine-like grinding, the “Conference Challeng